13
posts
with
3757
views
3757
views
ICCV
2011
IEEE
12 years 4 months ago
2011
IEEE
In this paper, we present an event parsing algorithm based on Stochastic Context Sensitive Grammar (SCSG) for understanding events, inferring the goal of agents, and predicting th...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
This paper addresses online learning of reference object distribution in the context of two hybrid tracking schemes that combine the mean shift with local point feature correspond...
ALGORITHMICA
1998
13 years 4 months ago
1998
We examine a general Bayesian framework for constructing on-line prediction algorithms in the experts setting. These algorithms predict the bits of an unknown Boolean sequence usin...
NIPS
1997
13 years 5 months ago
1997
Our aim in this paper is to develop a Bayesian framework for matching hierarchical relational models. Such models are widespread in computer vision. The framework that we adopt fo...
IJCAI
2003
13 years 6 months ago
2003
In multiagent environments, forms of social learning such as teaching and imitation have been shown to aid the transfer of knowledge from experts to learners in reinforcement lear...
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
In this paper we propose a Bayesian framework for XCS [9], called BXCS. Following [4], we use probability distributions to represent the uncertainty over the classifier estimates ...
ISWC
2000
IEEE
13 years 9 months ago
2000
IEEE
In this paper we present a framework for a navigation system in an indoor environment using only omnidirectional video. Within a Bayesian framework we seek the appropriate place a...
AVSS
2006
IEEE
13 years 10 months ago
2006
IEEE
This paper presents a Bayesian framework for 3D facial reconstruction. The framework iteratively deforms a generic face mesh to fit a set of range points representing a face. The...
ICPR
2008
IEEE
13 years 11 months ago
2008
IEEE
Image attention is the basic technique for many computer vision applications. In this paper, we propose an adaptive Bayesian framework to detect the image attention in color image...